Da Yan
Computer Science · Indiana University
Publications
194
Citations
2,687
Est. group size
—
Recurring co-author estimate
Active years
18
Publishing since 2009
Da Yan works in computer science on systems and algorithms for analyzing very large graphs and spatial data, often using GPUs and other high-performance hardware to make these computations faster and scalable. Recent work also applies machine learning and large AI models to areas such as Earth/satellite imagery analysis, flood mapping, and biomedical single-cell data. The research spans building software frameworks, designing efficient algorithms, and using AI for data-intensive scientific problems.
Publication activity has been steady overall across the last decade, averaging around 15 papers per year over the last five years, with some year-to-year fluctuation (a peak around 2021).
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia
Biology · 2026
- EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery
Open MIND · 2026
- EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery
arXiv (Cornell University) · 2026
- Abstract 5917: Single-cell profiling of NK cells in chronic myeloid leukemia identifies distinct cell states with gene regulatory signatures associated with differential outcomes after imatinib discontinuation
Cancer Research · 2026
- 3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects
arXiv (Cornell University) · 2026
- 3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects
arXiv (Cornell University) · 2026
- A Programming Framework for Large-Scale Graph Data Analytics on GPUs and New AI Accelerators
2026
- EvaMAE: How Helpful Are DEM Data in Enhancing Geo-Foundation Models for Earth Imagery?
2025
- Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
Proceedings of the VLDB Endowment · 2025
- Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
2025
- Computing Approximate Graph Edit Distance via Optimal Transport
Proceedings of the ACM on Management of Data · 2025
- DP-PINN+: A Dual-Phase PINN learning with automated phase division
Journal of Computational Science · 2025
- Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping
2025
- G-ThinkerQ: A General Subgraph Querying System With a Unified Task-Based Programming Model
IEEE Transactions on Knowledge and Data Engineering · 2025
- Analysis of Temporal and Spatial Patterns of Shared E-scooter Trips and Their Impacts on Traffic Operations in Birmingham, AL
Lecture notes in intelligent transportation and infrastructure · 2025
- arXiv (Cornell University)×16
- SpringerBriefs in computer science×8
- IEEE/ACM Transactions on Computational Biology and Bioinformatics×6
- 2021 IEEE International Conference on Big Data (Big Data)×5
- Proceedings of the VLDB Endowment×4
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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